Remote Machine Learning Engineering Manager Jobs
Remote Machine Learning Engineering Manager jobs are in strong demand across the U.S., with remote-first companies and distributed engineering teams actively hiring for this role in sectors like technology, finance, and healthcare. Employers posting remote openings right now include Lockheed Martin, Pinterest, and Tala. See the openings below and apply to the ones that match your experience.
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Showing 5 of 21+ Remote Machine Learning Engineering Manager jobs
Standard Job Description
This Advanced Solutions AI/ML Engineering Sr Manager will lead the definition and build-out of the organization's AI-Driven Software Development Lifecycle (AI-SDLC) capability. This is an AI-accelerated software engineering and development stack will cover the full lifecycle from requirements, design, code generation, testing, security, deployment, and sustainment. The role has two goals: make software delivery much faster and more automated to lower software total cost of ownership, and accelerate a strategy to move the organization from buying commercial software (COTS) and SaaS tools to building its own, retiring recurring license and subscription costs. The leader will manage a multi-team organization of ML, software, and MLOps/platform engineers, including subordinate managers. They will set the direction for technology selection, and make sure AI-generated software meets the LM security, safety, and certification requirements. They will also own the multi-year vision, budgets, and KPIs, working in partnership with Finance, Procurement, Legal, Applications, Cybersecurity, and Program leadership and advising senior leadership on long-range technology investment.
Leads those who serve as the experts for AI and autonomous systems and works with the Systems Engineering to provide the next generation of AI/ML solutions, including and not limited to inferencing, compute, storage as well as controls and systems safety. They support the team with integrating AI/ML with software and infrastructure systems, human-in-the-loop interfaces, and preparations for autonomous systems for certification and deployment. Leads those who research, identify and recommend appropriate software and infrastructure components for autonomous software systems to enable controls, observability, and compliance; Applies appropriate standards, processes, procedures and tools throughout the system development life cycle to support software systems; Qualifies and tests developed software and test plans, procedures, systems.
Desired Skills
Technical leader skills
Hands-on work with LLMs, agentic AI frameworks, skills, harnesses, fine-tuning, and model evaluation.
Familiarity with AI coding assistants and agentic development tools.
Experience with Lockheed Martin's LLM provider platforms, including the LAIC/Genesis and AWS Bedrock
Experience with containers and orchestration (e.g., Kubernetes), and with cloud, on-premises, and air-gapped deployments.
Experience building internal developer platforms and integrated CI/CD, test automation, and secure software supply chain tooling (e.g., SBOMs, vulnerability triage).
Knowledge of regulated or safety-critical software standards including Lockheed Martin's internal software development standards and guidelines
Leadership skills
A record of driving innovation, technology adoption and change management across the enterprise.
Strong communication with executives, including presenting strategy and investment recommendations to senior leadership and customers.
Building centers of excellence, communities of practice, and a culture of innovation and accountability.
Basic Qualifications
A bachelor’s degree in computer science, Computer/Electrical Engineering, Data Science, Mathematics, or a related STEM field with relevant professional experience.
People leadership experience, including managing managers or technical leads.
Experience leading the delivery of production AI/ML systems and solutions, including LLM-based or generative AI applications.
Experience leading software engineering and development organizations across the full software development lifecycle, including CI/CD and Dev/Sec/Ops practices.
Experience building business cases and managing budgets, including alternatives analysis such as build-vs-buy or cost-reduction work.
Pay Information
GeoZone Definition: GeoZones are geographic groupings created by Lockheed Martin to align compensation ranges with regional labor markets and cost-of-labor differences across the United States. Locations are assigned a Geo Zone based on the primary work location of the role.
-
Full-time salary range (GEOZONE 1): $228100.00 - $423700.00
- Includes metropolitan areas such as Sunnyvale CA; Pal Alto, CA; New York City metropolitan area; Newark, New Jersey; etc.
-
Full-time salary range (GEOZONE 2): $205300.00 - $381300.00
- Includes metropolitan areas such as Denver, CO; King of Prussia, PA; Stratford, CT; Moorestown, NJ; etc.
-
Full-time salary range (GEOZONE 3): $182500.00 - $338900.00
- Includes metropolitan areas such as Dallas–Fort Worth, TX; Orlando, FL; Grand Prairie, TX; Marietta, GA; etc.
-
Full-time salary range (GEOZONE 4): $164200.00 - $305000.00
- Includes metropolitan areas such as Camden, AR; Lexington, KY; Lufkin, TX; etc.
At Lockheed Martin, we know mission success starts with taking care of our people. Our Total Rewards program is designed to attract top talent, support your well-being, and help you grow—both professionally and personally.
The salary range for this position is as listed on the requisition. Please note that the salary information listed is a general guideline only.
Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market(work location) and business considerations when extending an offer.
Benefits offered: Medical, Dental, Vision, Flexible work arrangements and schedules (e.g., 4x10), 401(k) match, Paid time off, Holidays, Parental Leave, EAP, Flexible Spending Accounts, Education Assistance, Life Insurance, Short-Term Disability, and Long-Term Disability.
- Annual short-term and/or long-term incentive compensation programs may be offered depending on the position. Payments under these annual programs are not guaranteed and can vary from year to year and are tied to a range of performance metrics.
- For (Washington state applicants only) Non-represented full-time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year.
Standard Job Description
This Advanced Solutions AI/ML Engineering Sr Manager will lead the definition and build-out of the organization's AI-Driven Software Development Lifecycle (AI-SDLC) capability. This is an AI-accelerated software engineering and development stack will cover the full lifecycle from requirements, design, code generation, testing, security, deployment, and sustainment. The role has two goals: make software delivery much faster and more automated to lower software total cost of ownership, and accelerate a strategy to move the organization from buying commercial software (COTS) and SaaS tools to building its own, retiring recurring license and subscription costs. The leader will manage a multi-team organization of ML, software, and MLOps/platform engineers, including subordinate managers. They will set the direction for technology selection, and make sure AI-generated software meets the LM security, safety, and certification requirements. They will also own the multi-year vision, budgets, and KPIs, working in partnership with Finance, Procurement, Legal, Applications, Cybersecurity, and Program leadership and advising senior leadership on long-range technology investment.
Leads those who serve as the experts for AI and autonomous systems and works with the Systems Engineering to provide the next generation of AI/ML solutions, including and not limited to inferencing, compute, storage as well as controls and systems safety. They support the team with integrating AI/ML with software and infrastructure systems, human-in-the-loop interfaces, and preparations for autonomous systems for certification and deployment. Leads those who research, identify and recommend appropriate software and infrastructure components for autonomous software systems to enable controls, observability, and compliance; Applies appropriate standards, processes, procedures and tools throughout the system development life cycle to support software systems; Qualifies and tests developed software and test plans, procedures, systems.
Desired Skills
Technical leader skills
Hands-on work with LLMs, agentic AI frameworks, skills, harnesses, fine-tuning, and model evaluation.
Familiarity with AI coding assistants and agentic development tools.
Experience with Lockheed Martin's LLM provider platforms, including the LAIC/Genesis and AWS Bedrock
Experience with containers and orchestration (e.g., Kubernetes), and with cloud, on-premises, and air-gapped deployments.
Experience building internal developer platforms and integrated CI/CD, test automation, and secure software supply chain tooling (e.g., SBOMs, vulnerability triage).
Knowledge of regulated or safety-critical software standards including Lockheed Martin's internal software development standards and guidelines
Leadership skills
A record of driving innovation, technology adoption and change management across the enterprise.
Strong communication with executives, including presenting strategy and investment recommendations to senior leadership and customers.
Building centers of excellence, communities of practice, and a culture of innovation and accountability.
Basic Qualifications
A bachelor’s degree in computer science, Computer/Electrical Engineering, Data Science, Mathematics, or a related STEM field with relevant professional experience.
People leadership experience, including managing managers or technical leads.
Experience leading the delivery of production AI/ML systems and solutions, including LLM-based or generative AI applications.
Experience leading software engineering and development organizations across the full software development lifecycle, including CI/CD and Dev/Sec/Ops practices.
Experience building business cases and managing budgets, including alternatives analysis such as build-vs-buy or cost-reduction work.
Pay Information
GeoZone Definition: GeoZones are geographic groupings created by Lockheed Martin to align compensation ranges with regional labor markets and cost-of-labor differences across the United States. Locations are assigned a Geo Zone based on the primary work location of the role.
-
Full-time salary range (GEOZONE 1): $228100.00 - $423700.00
- Includes metropolitan areas such as Sunnyvale CA; Pal Alto, CA; New York City metropolitan area; Newark, New Jersey; etc.
-
Full-time salary range (GEOZONE 2): $205300.00 - $381300.00
- Includes metropolitan areas such as Denver, CO; King of Prussia, PA; Stratford, CT; Moorestown, NJ; etc.
-
Full-time salary range (GEOZONE 3): $182500.00 - $338900.00
- Includes metropolitan areas such as Dallas–Fort Worth, TX; Orlando, FL; Grand Prairie, TX; Marietta, GA; etc.
-
Full-time salary range (GEOZONE 4): $164200.00 - $305000.00
- Includes metropolitan areas such as Camden, AR; Lexington, KY; Lufkin, TX; etc.
At Lockheed Martin, we know mission success starts with taking care of our people. Our Total Rewards program is designed to attract top talent, support your well-being, and help you grow—both professionally and personally.
The salary range for this position is as listed on the requisition. Please note that the salary information listed is a general guideline only.
Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market(work location) and business considerations when extending an offer.
Benefits offered: Medical, Dental, Vision, Flexible work arrangements and schedules (e.g., 4x10), 401(k) match, Paid time off, Holidays, Parental Leave, EAP, Flexible Spending Accounts, Education Assistance, Life Insurance, Short-Term Disability, and Long-Term Disability.
- Annual short-term and/or long-term incentive compensation programs may be offered depending on the position. Payments under these annual programs are not guaranteed and can vary from year to year and are tied to a range of performance metrics.
- For (Washington state applicants only) Non-represented full-time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year.
See All 21 Remote Machine Learning Engineering Manager Jobs
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Find JobsRemote Machine Learning Engineering Manager Job Market
Who's Hiring
- Lockheed Martin12
- Pinterest2
- Tala1
- Cisco1
- Indeed1
Top Industries Hiring
- Technology & Software
- Electronics & Hardware
What Employers Look For
The qualifications that appear most often in remote machine learning engineering manager jobs.
- 7+ years of software engineering or ML experience with 2+ years in people management
- Proficiency in Python and at least one major ML framework such as PyTorch or TensorFlow
- Experience designing and operating ML pipelines in cloud environments like AWS, GCP, or Azure
- Demonstrated ability to lead cross-functional projects from model development through production deployment
- Strong communication skills for translating ML roadmaps to non-technical stakeholders and executives
- Bachelor's or master's degree in computer science, mathematics, statistics, or a related technical field
Tips for Your Remote Machine Learning Engineering Manager Job Search
Apply early to remote roles that fit
Migrate Mate lists remote machine learning engineering manager openings from across the U.S. in one place. Check it regularly and apply directly to roles that match your ML stack and team-size experience before postings close.
Show async leadership in your materials
Remote employers want proof you can lead without in-person presence. Include writing samples, design documents, or model review processes you owned that demonstrate how you unblock distributed teams through clear written communication.
Highlight distributed team management outcomes
Remote machine learning engineering managers are judged on results with geographically distributed teams. Quantify outcomes like model deployment cadence, team retention, or cross-functional project delivery to show you can manage ML work asynchronously at scale.
Prepare for remote-first technical interviews
Remote interviews for this role often include a live async exercise or take-home system design prompt to assess how you think and communicate independently. Practice writing up ML architecture decisions clearly, as many remote panels evaluate written reasoning alongside verbal responses.
Remote Machine Learning Engineering Manager Jobs: Frequently Asked Questions
How do I get a remote machine learning engineering manager job?
Target remote-first companies and distributed engineering organizations that have already built the infrastructure for async collaboration, since those environments are most likely to hire machine learning engineering managers without requiring in-office presence. Remote employers screen heavily for async written communication, self-direction, and the ability to unblock distributed ML teams without synchronous oversight. Demonstrated experience shipping production ML systems, leading cross-functional model deployment, and writing clear technical specs will give you a real edge over candidates who rely on in-person management styles.
Which companies hire remote machine learning engineering managers?
Remote machine learning engineering manager roles are posted by Lockheed Martin, Pinterest, and Tala and others right now, based on current remote listings on Migrate Mate as of November 2026. Remote-first technology firms, distributed SaaS companies, and large enterprise organizations with established remote engineering cultures are the most consistent sources of these openings.
Can you get a remote machine learning engineering manager job with no experience?
Yes, but remote machine learning engineering manager roles are harder to land without prior management experience because you must demonstrate you can lead distributed ML teams independently from day one. Remote-first startups and growth-stage AI companies are more open to first-time managers who can show strong individual contributor records in ML, clear examples of informal technical leadership, and evidence of effective async communication like written design docs or project retrospectives.
Do you need a degree for remote machine learning engineering manager jobs?
Not always. Many remote employers weigh your ML engineering portfolio, demonstrated leadership of model development cycles, and production deployment results more heavily than a formal credential. That said, a degree in computer science, statistics, or a related field remains common on job postings, so candidates without one typically offset it with open-source contributions, published work, or a strong history of shipping ML systems at scale.
Which industries hire the most remote machine learning engineering managers?
Remote machine learning engineering manager roles concentrate in Technology & Software and Electronics & Hardware, based on current remote listings on Migrate Mate as of November 2026. These sectors rely on distributed engineering teams building and maintaining ML systems, which makes the manager role well-suited to remote work arrangements.
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